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This technique report introduces TexSmart, a text understanding system thatsupports fine-grained named entity recognition (NER) and enhanced semanticanalysis functionalities. Compared to most previous publicly available textunderstanding systems and tools, TexSmart holds some unique features. First,the NER function of TexSmart supports over 1,000 entity types, while most otherpublic tools typically support several to (at most) dozens of entity types.Second, TexSmart introduces new semantic analysis functions like semanticexpansion and deep semantic representation, that are absent in most previoussystems. Third, a spectrum of algorithms (from very fast algorithms to thosethat are relatively slow but more accurate) are implemented for one function inTexSmart, to fulfill the requirements of different academic and industrialapplications. The adoption of unsupervised or weakly-supervised algorithms isespecially emphasized, with the goal of easily updating our models to includefresh data with less human annotation efforts.  The main contents of this report include major functions of TexSmart,algorithms for achieving these functions, how to use the TexSmart toolkit andWeb APIs, and evaluation results of some key algorithms.

TexSmart: A Text Understanding System for Fine-Grained NER and Enhanced Semantic Analysis